A series of developmental validation tests for Number of Contributors platforms: Exemplars using NOCIt and a neural network-Reference-Cited by-同舟云学术

A series of developmental validation tests for Number of Contributors platforms: Exemplars using NOCIt and a neural network

Published:2021-09 Issue: Volume:54 Page:102556
ISSN:1872-4973
Container-title:Forensic Science International: Genetics
language:en
Short-container-title:Forensic Science International: Genetics

Author:

Valtl Jakob,Mönich Ullrich J.,Lun Desmond S.,Kelley James,Grgicak Catherine M.

Funder

US Army Research Office

National Institute of Justice

U.S. Department of Defense

Office of Justice Programs

U.S. Department of Justice

Publisher

Elsevier BV

Subject

Genetics,Pathology and Forensic Medicine

Reference48 articles.

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5. A large-scale validation of NOCIt's a posteriori probability of the number of contributors and its integration into forensic interpretation pipelines;Grgicak;Forensic Sci. Int. Genet.,2020

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1. Machine learning applications in forensic DNA profiling: A critical review;Forensic Science International: Genetics;2024-03

2. Re: Riman et al. Examining performance and likelihood ratios for two likelihood ratio systems using the PROVEDIt dataset;Forensic Science International: Genetics;2022-07